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Tali Dekel
Tali Basha – Tali Dekel Basha
Person information
- affiliation: Google Research, Cambridge, MA, USA
- affiliation (former): Massachusetts Institute of Technology, CSAIL, Cambridge, MA, USA
- affiliation (PhD): Tel Aviv university Israel, Israel
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Journal Articles
- 2024
- [j15]Ryan Po, Wang Yifan
, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit Bermano, Eric R. Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. Comput. Graph. Forum 43(2): i-iii (2024) - [j14]Narek Tumanyan
Disentangling Structure and Appearance in ViT Feature Space. ACM Trans. Graph. 43(1): 11:1-11:16 (2024) - 2021
- [j13]Tali Dekel, Noah Snavely:
Unveiling unexpected training data in internet video. Commun. ACM 64(8): 69-79 (2021) - [j12]Zhengqi Li
MannequinChallenge: Learning the Depths of Moving People by Watching Frozen People. IEEE Trans. Pattern Anal. Mach. Intell. 43(12): 4229-4241 (2021) - [j11]Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent depth of moving objects in video. ACM Trans. Graph. 40(4): 148:1-148:12 (2021) - [j10]Yoni Kasten, Dolev Ofri, Oliver Wang, Tali Dekel:
Layered neural atlases for consistent video editing. ACM Trans. Graph. 40(6): 210:1-210:12 (2021) - 2020
- [j9]Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered neural rendering for retiming people in video. ACM Trans. Graph. 39(6): 256:1-256:14 (2020) - 2018
- [j8]Shaul Oron
Best-Buddies Similarity - Robust Template Matching Using Mutual Nearest Neighbors. IEEE Trans. Pattern Anal. Mach. Intell. 40(8): 1799-1813 (2018) - [j7]Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein:
Looking to listen at the cocktail party: a speaker-independent audio-visual model for speech separation. ACM Trans. Graph. 37(4): 112 (2018) - 2017
- [j6]Adi Dafni, Yael Moses, Shai Avidan, Tali Dekel:
Detecting moving regions in CrowdCam images. Comput. Vis. Image Underst. 160: 36-44 (2017) - 2015
- [j5]Neal Wadhwa, Tali Dekel, Donglai Wei, Frédo Durand, William T. Freeman:
Deviation magnification: revealing departures from ideal geometries. ACM Trans. Graph. 34(6): 226:1-226:10 (2015) - [j4]Tali Dekel, Tomer Michaeli, Michal Irani, William T. Freeman:
Revealing and modifying non-local variations in a single image. ACM Trans. Graph. 34(6): 227:1-227:11 (2015) - 2014
- [j3]Tali Dekel Basha, Yael Moses, Shai Avidan:
Photo Sequencing. Int. J. Comput. Vis. 110(3): 275-289 (2014) - 2013
- [j2]Tali Basha, Yael Moses, Nahum Kiryati
Multi-view Scene Flow Estimation: A View Centered Variational Approach. Int. J. Comput. Vis. 101(1): 6-21 (2013) - [j1]Tali Dekel Basha, Yael Moses, Shai Avidan:
Stereo Seam Carving a Geometrically Consistent Approach. IEEE Trans. Pattern Anal. Mach. Intell. 35(10): 2513-2525 (2013)
Conference and Workshop Papers
- 2024
- [c33]Danah Yatim, Rafail Fridman, Omer Bar-Tal, Yoni Kasten, Tali Dekel:
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer. CVPR 2024: 8466-8476 - [c32]Narek Tumanyan, Assaf Singer, Shai Bagon, Tali Dekel:
DINO-Tracker: Taming DINO for Self-supervised Point Tracking in a Single Video. ECCV (26) 2024: 367-385 - [c31]Michal Geyer, Omer Bar-Tal, Shai Bagon, Tali Dekel:
TokenFlow: Consistent Diffusion Features for Consistent Video Editing. ICLR 2024 - 2023
- [c30]Narek Tumanyan, Michal Geyer, Shai Bagon, Tali Dekel:
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation. CVPR 2023: 1921-1930 - [c29]Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani:
Imagic: Text-Based Real Image Editing with Diffusion Models. CVPR 2023: 6007-6017 - [c28]Dolev Ofri-Amar, Michal Geyer, Yoni Kasten, Tali Dekel:
Neural Congealing: Aligning Images to a Joint Semantic Atlas. CVPR 2023: 19403-19412 - [c27]Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel:
Teaching CLIP to Count to Ten. ICCV 2023: 3147-3157 - [c26]Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel:
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation. ICML 2023: 1737-1752 - [c25]Rafail Fridman, Amit Abecasis, Yoni Kasten, Tali Dekel:
SceneScape: Text-Driven Consistent Scene Generation. NeurIPS 2023 - [c24]Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola:
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. NeurIPS 2023 - 2022
- [c23]Narek Tumanyan, Omer Bar-Tal, Shai Bagon, Tali Dekel:
Splicing ViT Features for Semantic Appearance Transfer. CVPR 2022: 10738-10747 - [c22]Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel:
On the Effectiveness of ViT Features as Local Semantic Descriptors. ECCV Workshops (4) 2022: 39-55 - [c21]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Generation from a Single Video Made Possible. ECCV (17) 2022: 491-509 - [c20]Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, Tali Dekel:
Text2LIVE: Text-Driven Layered Image and Video Editing. ECCV (15) 2022: 707-723 - [c19]Erika Lu, Forrester Cole, Weidi Xie, Tali Dekel, Bill Freeman, Andrew Zisserman, Michael Rubinstein:
Associating Objects and Their Effects in Video through Coordination Games. NeurIPS 2022 - [c18]Ron Mokady, Omer Tov, Michal Yarom
Self-Distilled StyleGAN: Towards Generation from Internet Photos. SIGGRAPH (Conference Paper Track) 2022: 50:1-50:9 - 2021
- [c17]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CVPR 2021: 4507-4515 - 2020
- [c16]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CVPR 2020: 7455-7464 - [c15]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CVPR 2020: 9919-9928 - 2019
- [c14]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CVPR 2019: 4521-4530 - [c13]Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik:
Speech2Face: Learning the Face Behind a Voice. CVPR 2019: 7539-7548 - [c12]Tamar Rott Shaham, Tali Dekel, Tomer Michaeli:
SinGAN: Learning a Generative Model From a Single Natural Image. ICCV 2019: 4569-4579 - 2018
- [c11]Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman:
Sparse, Smart Contours to Represent and Edit Images. CVPR 2018: 3511-3520 - [c10]Tal Tlusty, Tomer Michaeli, Tali Dekel, Lihi Zelnik-Manor:
Modifying Non-Local Variations Across Multiple Views. CVPR 2018: 6276-6285 - [c9]Xiuming Zhang
MoSculp: Interactive Visualization of Shape and Time. UIST 2018: 275-285 - 2017
- [c8]Tali Dekel, Michael Rubinstein, Ce Liu, William T. Freeman:
On the Effectiveness of Visible Watermarks. CVPR 2017: 6864-6872 - 2015
- [c7]Tali Dekel, Shaul Oron, Michael Rubinstein, Shai Avidan, William T. Freeman:
Best-Buddies Similarity for robust template matching. CVPR 2015: 2021-2029 - 2013
- [c6]Tali Dekel Basha, Yael Moses, Shai Avidan:
Space-Time Tradeoffs in Photo Sequencing. ICCV 2013: 977-984 - 2012
- [c5]Idan Ben-ami, Tali Basha, Shai Avidan:
Racing Bib Numbers Recognition. BMVC 2012: 1-10 - [c4]Tali Basha, Shai Avidan, Alexander Hornung, Wojciech Matusik:
Structure and motion from scene registration. CVPR 2012: 1426-1433 - [c3]Tali Basha, Yael Moses, Shai Avidan:
Photo Sequencing. ECCV (6) 2012: 654-667 - 2011
- [c2]Tali Basha, Yael Moses, Shai Avidan:
Geometrically consistent stereo seam carving. ICCV 2011: 1816-1823 - 2010
- [c1]Tali Basha, Yael Moses, Nahum Kiryati
Multi-view scene flow estimation: A view centered variational approach. CVPR 2010: 1506-1513
Informal and Other Publications
- 2024
- [i33]Omer Bar-Tal, Hila Chefer, Omer Tov, Charles Herrmann, Roni Paiss, Shiran Zada, Ariel Ephrat, Junhwa Hur, Yuanzhen Li, Tomer Michaeli, Oliver Wang, Deqing Sun, Tali Dekel, Inbar Mosseri:
Lumiere: A Space-Time Diffusion Model for Video Generation. CoRR abs/2401.12945 (2024) - [i32]Narek Tumanyan, Assaf Singer, Shai Bagon, Tali Dekel:
DINO-Tracker: Taming DINO for Self-Supervised Point Tracking in a Single Video. CoRR abs/2403.14548 (2024) - [i31]Hila Chefer, Shiran Zada, Roni Paiss, Ariel Ephrat, Omer Tov, Michael Rubinstein, Lior Wolf, Tali Dekel, Tomer Michaeli, Inbar Mosseri:
Still-Moving: Customized Video Generation without Customized Video Data. CoRR abs/2407.08674 (2024) - 2023
- [i30]Rafail Fridman, Amit Abecasis, Yoni Kasten, Tali Dekel:
SceneScape: Text-Driven Consistent Scene Generation. CoRR abs/2302.01133 (2023) - [i29]Dolev Ofri-Amar, Michal Geyer, Yoni Kasten, Tali Dekel:
Neural Congealing: Aligning Images to a Joint Semantic Atlas. CoRR abs/2302.03956 (2023) - [i28]Omer Bar-Tal, Lior Yariv, Yaron Lipman, Tali Dekel:
MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation. CoRR abs/2302.08113 (2023) - [i27]Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel:
Teaching CLIP to Count to Ten. CoRR abs/2302.12066 (2023) - [i26]Stephanie Fu, Netanel Tamir, Shobhita Sundaram, Lucy Chai, Richard Zhang, Tali Dekel, Phillip Isola:
DreamSim: Learning New Dimensions of Human Visual Similarity using Synthetic Data. CoRR abs/2306.09344 (2023) - [i25]Michal Geyer, Omer Bar-Tal, Shai Bagon, Tali Dekel:
TokenFlow: Consistent Diffusion Features for Consistent Video Editing. CoRR abs/2307.10373 (2023) - [i24]Ryan Po, Wang Yifan, Vladislav Golyanik, Kfir Aberman, Jonathan T. Barron, Amit H. Bermano, Eric Ryan Chan, Tali Dekel, Aleksander Holynski, Angjoo Kanazawa, C. Karen Liu, Lingjie Liu, Ben Mildenhall, Matthias Nießner, Björn Ommer, Christian Theobalt, Peter Wonka, Gordon Wetzstein:
State of the Art on Diffusion Models for Visual Computing. CoRR abs/2310.07204 (2023) - [i23]Narek Tumanyan, Omer Bar-Tal, Shir Amir, Shai Bagon, Tali Dekel:
Disentangling Structure and Appearance in ViT Feature Space. CoRR abs/2311.12193 (2023) - [i22]Danah Yatim, Rafail Fridman, Omer Bar-Tal, Yoni Kasten, Tali Dekel:
Space-Time Diffusion Features for Zero-Shot Text-Driven Motion Transfer. CoRR abs/2311.17009 (2023) - 2022
- [i21]Narek Tumanyan, Omer Bar-Tal, Shai Bagon, Tali Dekel:
Splicing ViT Features for Semantic Appearance Transfer. CoRR abs/2201.00424 (2022) - [i20]Ron Mokady, Michal Yarom, Omer Tov, Oran Lang, Daniel Cohen-Or, Tali Dekel, Michal Irani, Inbar Mosseri:
Self-Distilled StyleGAN: Towards Generation from Internet Photos. CoRR abs/2202.12211 (2022) - [i19]Omer Bar-Tal, Dolev Ofri-Amar, Rafail Fridman, Yoni Kasten, Tali Dekel:
Text2LIVE: Text-Driven Layered Image and Video Editing. CoRR abs/2204.02491 (2022) - [i18]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Video Generation from a Single Video. CoRR abs/2205.05725 (2022) - [i17]Bahjat Kawar, Shiran Zada, Oran Lang, Omer Tov, Huiwen Chang, Tali Dekel, Inbar Mosseri, Michal Irani:
Imagic: Text-Based Real Image Editing with Diffusion Models. CoRR abs/2210.09276 (2022) - [i16]Narek Tumanyan, Michal Geyer, Shai Bagon, Tali Dekel:
Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation. CoRR abs/2211.12572 (2022) - 2021
- [i15]Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein:
Omnimatte: Associating Objects and Their Effects in Video. CoRR abs/2105.06993 (2021) - [i14]Zhoutong Zhang, Forrester Cole, Richard Tucker, William T. Freeman, Tali Dekel:
Consistent Depth of Moving Objects in Video. CoRR abs/2108.01166 (2021) - [i13]Niv Haim, Ben Feinstein, Niv Granot, Assaf Shocher, Shai Bagon, Tali Dekel, Michal Irani:
Diverse Generation from a Single Video Made Possible. CoRR abs/2109.08591 (2021) - [i12]Yoni Kasten, Dolev Ofri, Oliver Wang, Tali Dekel:
Layered Neural Atlases for Consistent Video Editing. CoRR abs/2109.11418 (2021) - [i11]Shir Amir, Yossi Gandelsman, Shai Bagon, Tali Dekel:
Deep ViT Features as Dense Visual Descriptors. CoRR abs/2112.05814 (2021) - 2020
- [i10]Assaf Shocher, Yossi Gandelsman, Inbar Mosseri, Michal Yarom, Michal Irani, William T. Freeman, Tali Dekel:
Semantic Pyramid for Image Generation. CoRR abs/2003.06221 (2020) - [i9]Sagie Benaim, Ariel Ephrat, Oran Lang, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Michal Irani, Tali Dekel:
SpeedNet: Learning the Speediness in Videos. CoRR abs/2004.06130 (2020) - [i8]Erika Lu, Forrester Cole, Tali Dekel, Weidi Xie, Andrew Zisserman, David Salesin, William T. Freeman, Michael Rubinstein:
Layered Neural Rendering for Retiming People in Video. CoRR abs/2009.07833 (2020) - 2019
- [i7]Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman:
Learning the Depths of Moving People by Watching Frozen People. CoRR abs/1904.11111 (2019) - [i6]Tamar Rott Shaham, Tali Dekel, Tomer Michaeli:
SinGAN: Learning a Generative Model from a Single Natural Image. CoRR abs/1905.01164 (2019) - [i5]Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik:
Speech2Face: Learning the Face Behind a Voice. CoRR abs/1905.09773 (2019) - 2018
- [i4]Ariel Ephrat, Inbar Mosseri, Oran Lang, Tali Dekel, Kevin Wilson, Avinatan Hassidim, William T. Freeman, Michael Rubinstein:
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation. CoRR abs/1804.03619 (2018) - [i3]Xiuming Zhang, Tali Dekel, Tianfan Xue, Andrew Owens, Qiurui He, Jiajun Wu, Stefanie Mueller, William T. Freeman:
MoSculp: Interactive Visualization of Shape and Time. CoRR abs/1809.05491 (2018) - 2017
- [i2]Tali Dekel, Chuang Gan, Dilip Krishnan, Ce Liu, William T. Freeman:
Smart, Sparse Contours to Represent and Edit Images. CoRR abs/1712.08232 (2017) - 2016
- [i1]Shaul Oron, Tali Dekel, Tianfan Xue, William T. Freeman, Shai Avidan:
Best-Buddies Similarity - Robust Template Matching using Mutual Nearest Neighbors. CoRR abs/1609.01571 (2016)
Coauthor Index
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